Paper Info
Title
Design and Implementation of a Robust Palm Biometrics Recognition and Verification System
Abstract
Complete design and implementation of a robust palm biometrics recognition and verification system has been presented. The paper attempts to scientifically develop a comprehensive set of hand geometry features and develop an original algorithm from a fundamental level to robustly compute a selected set of features so as to minimize palm placement effect. These features are combined with chrominance features, to achieve recognition and verification accuracy, significant with respect to the current state in palm biometrics research. The algorithm has been kept robust, simple and computationally efficient while the implementation is relatively inexpensive. The experiments on recognition, Principal Components Analysis (PCA) and verification, on a dataset of 100 users strongly confirm the utility of robustly calculating a comprehensive set of scientifically selected hand geometry features. The results uncover the potential of hand geometry features and confirm that the system can be used in medium to high security environments.
Year
DOI
Venue
2008
10.1109/ICVGIP.2008.56
ICVGIP
Keywords
Field
DocType
principal components analysis,palm placement effect,comprehensive set,verification system,robust palm biometrics recognition,chrominance feature,hand geometry feature,palm biometrics research,original algorithm,verification accuracy,pca,feature extraction,robustness,biometrics,geometry,databases,accuracy,principal component analysis,image recognition
Hand geometry,Computer vision,Pattern recognition,Computer science,Palm,Chrominance,Feature extraction,Robustness (computer science),Artificial intelligence,Biometrics,Principal component analysis,Verification system
Conference
Citations 
PageRank 
References 
1
0.39
5
Authors
4
Name
Order
Citations
PageRank
Saurabh Parashar110.39
Anand Vardhan210.39
C. Patvardhan37812.28
Prem Kumar Kalra422221.29